Yield map generation of perennial crops for fresh consumption.

Bibliographic Details
Main Author: BAZZI, C. L.
Publication Date: 2021
Other Authors: MARTINS, M. R., CORDEIRO, B. E., GEBLER, L., SOUZA, E. G. de, SCHENATTO, K., PAULA FILHO, P. L. de, SOBJAK, R.
Format: Article
Language: eng
Source: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Download full: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1135039
Summary: Yield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantifcation of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial proftability. Therefore, a system was developed to quantify and relate the quality obtained in the classifcation line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the diferent collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identifcation of the efciency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector.
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spelling Yield map generation of perennial crops for fresh consumption.AgDataBoxPerennialYield mapsManual harvestApplesYield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantifcation of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial proftability. Therefore, a system was developed to quantify and relate the quality obtained in the classifcation line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the diferent collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identifcation of the efciency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector.CLAUDIO LEONES BAZZI, Claudio Leones Bazzi bazzi@utfpr.edu.br 1 Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; MICHEL ROSIN MARTINS, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; BRUNO EDUARDO CORDEIRO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; LUCIANO GEBLER, CNPUV; EDUARDO GODOY DE SOUZA, PGEAGRI, Technological and Exact Sciences Center, Western Paraná State University (UNIOESTE), Cascavel, Paraná, Brazil; KELYN SCHENATTO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; PEDRO LUIZ DE PAULA FILHO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; RICARDO SOBJAK, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil.BAZZI, C. L.MARTINS, M. R.CORDEIRO, B. E.GEBLER, L.SOUZA, E. G. deSCHENATTO, K.PAULA FILHO, P. L. deSOBJAK, R.2021-10-05T17:00:25Z2021-10-05T17:00:25Z2021-10-052021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePrecision Agriculture, online, set. 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/113503910.1007/s11119-021-09855-2enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-10-05T17:00:35Zoai:www.alice.cnptia.embrapa.br:doc/1135039Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-10-05T17:00:35falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-10-05T17:00:35Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Yield map generation of perennial crops for fresh consumption.
title Yield map generation of perennial crops for fresh consumption.
spellingShingle Yield map generation of perennial crops for fresh consumption.
BAZZI, C. L.
AgDataBox
Perennial
Yield maps
Manual harvest
Apples
title_short Yield map generation of perennial crops for fresh consumption.
title_full Yield map generation of perennial crops for fresh consumption.
title_fullStr Yield map generation of perennial crops for fresh consumption.
title_full_unstemmed Yield map generation of perennial crops for fresh consumption.
title_sort Yield map generation of perennial crops for fresh consumption.
author BAZZI, C. L.
author_facet BAZZI, C. L.
MARTINS, M. R.
CORDEIRO, B. E.
GEBLER, L.
SOUZA, E. G. de
SCHENATTO, K.
PAULA FILHO, P. L. de
SOBJAK, R.
author_role author
author2 MARTINS, M. R.
CORDEIRO, B. E.
GEBLER, L.
SOUZA, E. G. de
SCHENATTO, K.
PAULA FILHO, P. L. de
SOBJAK, R.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv CLAUDIO LEONES BAZZI, Claudio Leones Bazzi bazzi@utfpr.edu.br 1 Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; MICHEL ROSIN MARTINS, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; BRUNO EDUARDO CORDEIRO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; LUCIANO GEBLER, CNPUV; EDUARDO GODOY DE SOUZA, PGEAGRI, Technological and Exact Sciences Center, Western Paraná State University (UNIOESTE), Cascavel, Paraná, Brazil; KELYN SCHENATTO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; PEDRO LUIZ DE PAULA FILHO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; RICARDO SOBJAK, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil.
dc.contributor.author.fl_str_mv BAZZI, C. L.
MARTINS, M. R.
CORDEIRO, B. E.
GEBLER, L.
SOUZA, E. G. de
SCHENATTO, K.
PAULA FILHO, P. L. de
SOBJAK, R.
dc.subject.por.fl_str_mv AgDataBox
Perennial
Yield maps
Manual harvest
Apples
topic AgDataBox
Perennial
Yield maps
Manual harvest
Apples
description Yield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantifcation of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial proftability. Therefore, a system was developed to quantify and relate the quality obtained in the classifcation line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the diferent collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identifcation of the efciency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-05T17:00:25Z
2021-10-05T17:00:25Z
2021-10-05
2021
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Precision Agriculture, online, set. 2021.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1135039
10.1007/s11119-021-09855-2
identifier_str_mv Precision Agriculture, online, set. 2021.
10.1007/s11119-021-09855-2
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1135039
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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